To investigate the value of MRI texture analysis in differentiating the diagnoses of primary cerebral nervous system lymphoma (PCNSL) and solitary metastasis in cerebellar hemispheres. Methods: We retrospectively analyzed the contrast-enhanced MRI of 20 patients with PCNSL and 22 patients with solitary solid metastasis with all cases having been confirmed by operative pathological examination. Applying MRI texture analysis to axial contrast-enhanced T1WI, we obtained the mean, median, standard deviation, kurtosis, entropy, skewedness, and inhomogeneity parameters and then statistically analyzed these quantitative parameters. Results: There were statistically significant differences in standard deviation, entropy, skewedness, kurtosis, and inhomogeneity between the two groups (all P<0.05). Inhomogeneity showed greater differential diagnostic efficacy than other parameters and demonstrated greater sensitivity, specificity, and accuracy. When applying multiparameter analysis for differential diagnosis using standard deviation, entropy, skewedness, kurtosis, and inhomogeneity obtained from MRI texture analysis, the diagnostic efficacy was superior to that when using individual parameters alone in analysis. Conclusion: Some of the quantitative parameters from MRI texture analysis (standard deviation, entropy, skewedness, kurtosis, and inhomogeneity) could be used in the differential diagnosis of PCNSL and solitary metastasis in cerebellar hemispheres.